| Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021 | 624 | 2021 |
| E2mc: Improving emergency management service practice through social media and crowdsourcing analysis in near real time C Havas, B Resch, C Francalanci, B Pernici, G Scalia, ... Sensors 17 (12), 2766, 2017 | 84 | 2017 |
| Towards automated auditing with machine learning R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ... Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019 | 43 | 2019 |
| Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020) L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... arXiv preprint arXiv:1903.12394, 1903 | 10 | 1903 |
| Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring B Kirsch, S Giesselbach, D Knodt, S Rüping Community-Oriented Policing and Technological Innovations, 29, 2018 | 7 | 2018 |
| Noise reduction in distant supervision for relation extraction using probabilistic soft logic B Kirsch, Z Niyazova, M Mock, S Rüping Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 5 | 2020 |
| Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. B Kirsch, S Giesselbach, T Schmude, M Völkening, F Rostalski, S Rüping LWDA, 76-87, 2020 | 2 | 2020 |
